{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:28:25Z","timestamp":1787164105601,"version":"build-2736575974"},"reference-count":38,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T00:00:00Z","timestamp":1760227200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2026,1]]},"DOI":"10.1016\/j.cmpb.2025.109113","type":"journal-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:11:34Z","timestamp":1760195494000},"page":"109113","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Automated detection of mandibular landmarks in CT data using a dual-input approach in a two-stage design"],"prefix":"10.1016","volume":"273","author":[{"given":"Matthias","family":"Deitermann","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5840-2115","authenticated-orcid":false,"given":"Tobias","family":"Pankert","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Srikrishna","family":"Jaganathan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1934-6525","authenticated-orcid":false,"given":"Oliver","family":"R\u00f6hrle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Frank","family":"H\u00f6lzle","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2160-4527","authenticated-orcid":false,"given":"Ali","family":"Modabber","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8470-9145","authenticated-orcid":false,"given":"Stefan","family":"Raith","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.cmpb.2025.109113_b1","doi-asserted-by":"crossref","first-page":"1378","DOI":"10.1016\/j.jcms.2019.06.013","article-title":"Evaluation of a novel algorithm for automating virtual surgical planning in mandibular reconstruction using fibula flaps","volume":"47","author":"Modabber","year":"2019","journal-title":"J. Cranio-Maxillofacial Surg."},{"issue":"3","key":"10.1016\/j.cmpb.2025.109113_b2","first-page":"137","article-title":"Virtual planning for mandible resection and reconstruction","volume":"8","author":"Probst","year":"2023","journal-title":"Innov. Surg. Sci."},{"key":"10.1016\/j.cmpb.2025.109113_b3","series-title":"An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms","first-page":"540","author":"Zhong","year":"2019"},{"key":"10.1016\/j.cmpb.2025.109113_b4","doi-asserted-by":"crossref","first-page":"95020","DOI":"10.1088\/1361-6560\/acb483","article-title":"CMF-Net: craniomaxillofacial landmark localization on CBCT images using geometric constraint and transformer","volume":"68","author":"Lu","year":"2023","journal-title":"Phys. Med. Biol."},{"key":"10.1016\/j.cmpb.2025.109113_b5","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1007\/s00266-012-9877-2","article-title":"Computer-assisted mandibular reconstruction with vascularized iliac crest bone graft","volume":"36","author":"Modabber","year":"2012","journal-title":"Aesthetic Plast. Surg."},{"key":"10.1016\/j.cmpb.2025.109113_b6","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1002\/rcs.456","article-title":"Evaluation of computer-assisted jaw reconstruction with free vascularized fibular flap compared to conventional surgery: a clinical pilot study","volume":"8","author":"Modabber","year":"2012","journal-title":"Int. J. Med. Robot."},{"key":"10.1016\/j.cmpb.2025.109113_b7","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1002\/jso.25255","article-title":"Virtual planning and navigational technology in reconstructive surgery","volume":"118","author":"Shenaq","year":"2018","journal-title":"J. Surg. Oncol."},{"key":"10.1016\/j.cmpb.2025.109113_b8","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1186\/1471-2342-14-32","article-title":"The accuracy of a designed software for automated localization of craniofacial landmarks on CBCT images","volume":"14","author":"Shahidi","year":"2014","journal-title":"BMC Med. Imaging"},{"key":"10.1016\/j.cmpb.2025.109113_b9","first-page":"17","article-title":"Reeb graph for automatic 3D cephalometry","volume":"8","author":"Mestiri","year":"2014","journal-title":"Int. J. Image Process."},{"key":"10.1016\/j.cmpb.2025.109113_b10","doi-asserted-by":"crossref","DOI":"10.1007\/s11548-015-1173-6","article-title":"A knowledge-based algorithm for automatic detection of cephalometric landmarks on CBCT images","volume":"10","author":"Gupta","year":"2015","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.cmpb.2025.109113_b11","article-title":"Proposition of local automatic algorithm for landmark detection in 3D cephalometry","volume":"10","author":"Ed-Dhahraouy","year":"2021","journal-title":"Bull. Electr. Eng. Inform."},{"key":"10.1016\/j.cmpb.2025.109113_b12","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1177\/0309364613520032","article-title":"Mandible reconstruction: History, state of the art and persistent problems","volume":"39","author":"Ferreira","year":"2015","journal-title":"Prosthet. Orthot. Int."},{"key":"10.1016\/j.cmpb.2025.109113_b13","article-title":"Cephalometric study of the relationship between facial morphology and ethnicity: Review article","volume":"12","author":"Darkwah","year":"2018","journal-title":"Transl. Res."},{"key":"10.1016\/j.cmpb.2025.109113_b14","first-page":"1","article-title":"Computational geometry assessment for morphometric analysis of the mandible","volume":"20","author":"Raith","year":"2016","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2025.109113_b15","series-title":"Medical Image Computing and Computer-Assisted Intervention","first-page":"565","article-title":"3D deep learning for efficient and robust landmark detection in volumetric data","volume":"vol. 9350","author":"Zheng","year":"2015"},{"key":"10.1016\/j.cmpb.2025.109113_b16","series-title":"MICCAI (2)","first-page":"230","article-title":"Regressing heatmaps for multiple landmark localization using cnns.","volume":"vol. 9901","author":"Payer","year":"2016"},{"issue":"4","key":"10.1016\/j.cmpb.2025.109113_b17","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1109\/TMI.2018.2875814","article-title":"Deep geodesic learning for segmentation and anatomical landmarking.","volume":"38","author":"Torosdagli","year":"2019","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.cmpb.2025.109113_b18","series-title":"SkullEngine: A multi-stage CNN framework for collaborative CBCT image segmentation and landmark detection.","author":"Liu","year":"2021"},{"key":"10.1016\/j.cmpb.2025.109113_b19","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2015: 18th International Conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","volume":"9351","author":"Ronneberger","year":"2015"},{"key":"10.1016\/j.cmpb.2025.109113_b20","series-title":"Medical Image Computing and Computer-Assisted Intervention\u2013MICCAI 2016: 19th International Conference, Athens, Greece, October 17-21, 2016, Proceedings, Part II 19","first-page":"424","article-title":"3D U-net: learning dense volumetric segmentation from sparse annotation","volume":"9901","author":"\u00c7i\u00e7ek","year":"2016"},{"key":"10.1016\/j.cmpb.2025.109113_b21","series-title":"BrainLes@MICCAI","first-page":"287","article-title":"Brain tumor segmentation and radiomics survival prediction: Contribution to the BRATS 2017 challenge.","volume":"Vol. 10670","author":"Isensee","year":"2017"},{"key":"10.1016\/j.cmpb.2025.109113_b22","first-page":"807","article-title":"Multi-task dynamic transformer network for concurrent bone segmentation and large-scale landmark localization with dental CBCT","volume":"12264","author":"Lian","year":"2020","journal-title":"Med. Image Comput. Comput. Assist. Interv."},{"key":"10.1016\/j.cmpb.2025.109113_b23","doi-asserted-by":"crossref","DOI":"10.1016\/j.media.2019.101621","article-title":"Context-guided fully convolutional networks for joint craniomaxillofacial bone segmentation and landmark digitization","volume":"60","author":"Zhang","year":"2020","journal-title":"Med. Image Anal."},{"key":"10.1016\/j.cmpb.2025.109113_b24","doi-asserted-by":"crossref","first-page":"1479","DOI":"10.1007\/s11548-022-02830-w","article-title":"Mandible segmentation from CT data for virtual surgical planning using an augmented two-stepped convolutional neural network","volume":"18","author":"Pankert","year":"2023","journal-title":"Int. J. Comput. Assist. Radiol. Surg."},{"key":"10.1016\/j.cmpb.2025.109113_b25","doi-asserted-by":"crossref","first-page":"2524","DOI":"10.1109\/TMI.2016.2582386","article-title":"Detecting anatomical landmarks for fast alzheimer\u2019s disease diagnosis","volume":"35","author":"Zhang","year":"2016","journal-title":"IEEE Trans. Med. Imaging"},{"key":"10.1016\/j.cmpb.2025.109113_b26","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.110332","article-title":"Cascade-refine model for cephalometric landmark detection in high-resolution orthodontic images","volume":"265","author":"He","year":"2023","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.cmpb.2025.109113_b27","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.neucom.2021.08.042","article-title":"Cephalometric landmark detection by considering translational invariance in the two-stage framework","volume":"464","author":"He","year":"2021","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cmpb.2025.109113_b28","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2024.128782","article-title":"A pseudo-3D coarse-to-fine architecture for 3D medical landmark detection","volume":"614","author":"Cui","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cmpb.2025.109113_b29","doi-asserted-by":"crossref","DOI":"10.1016\/j.jcms.2017.09.014","article-title":"Classification of the level of mandibular atrophy\u2013 a computer-assisted study based on 500 CT scans","volume":"45","author":"Varga","year":"2017","journal-title":"J. Cranio-Maxillofacial Surg."},{"key":"10.1016\/j.cmpb.2025.109113_b30","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2023.127051","article-title":"Anchor ball regression model for large-scale 3D skull landmark detection","volume":"567","author":"He","year":"2024","journal-title":"Neurocomputing"},{"key":"10.1016\/j.cmpb.2025.109113_b31","series-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014"},{"key":"10.1016\/j.cmpb.2025.109113_b32","series-title":"International Workshop on Machine Learning in Medical Imaging","first-page":"379","article-title":"Tversky loss function for image segmentation using 3D fully convolutional deep networks","author":"Salehi","year":"2017"},{"key":"10.1016\/j.cmpb.2025.109113_b33","series-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015"},{"key":"10.1016\/j.cmpb.2025.109113_b34","series-title":"Batchgenerators - A python framework for data augmentation","author":"Isensee","year":"2020"},{"key":"10.1016\/j.cmpb.2025.109113_b35","series-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","author":"Abadi","year":"2015"},{"key":"10.1016\/j.cmpb.2025.109113_b36","series-title":"2020 25th International Conference on Pattern Recognition","first-page":"9982","article-title":"Deep multi-stage model for automated landmarking of craniomaxillofacial CT scans","author":"Palazzo","year":"2021"},{"key":"10.1016\/j.cmpb.2025.109113_b37","series-title":"Computer Vision \u2013 ECCV 2018 Workshops: Munich, Germany, September 8-14, 2018, Proceedings, Part III","first-page":"470","article-title":"Attaining human-level performance with atlas location autocontext for anatomical landmark detection in 3D CT data","author":"O\u2019Neil","year":"2019"},{"key":"10.1016\/j.cmpb.2025.109113_b38","doi-asserted-by":"crossref","DOI":"10.1117\/1.JMI.10.2.024002","article-title":"Relational reasoning network for anatomical landmarking","volume":"10","author":"Torosdagli","year":"2023","journal-title":"J. Med. Imaging"}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260725005292?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260725005292?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T18:51:03Z","timestamp":1762541463000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260725005292"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1]]},"references-count":38,"alternative-id":["S0169260725005292"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2025.109113","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2026,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Automated detection of mandibular landmarks in CT data using a dual-input approach in a two-stage design","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2025.109113","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"109113"}}